Note: Overall leaderboard rankings may not reflect true model quality — individual benchmarks give a clearer picture. ARC-Challenge MMLU GPQA GSM8K Artificial Analysis Intelligence Index v4.1
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Meta: muse-image

2 benchmarks
CompanyMeta
Country of originUSA

Leaderboard position

#89
Overall rank (of 1121 models)
2324
Elo rating
2
Benchmarks
Top 7.9%
Percentile
In Meta (of 12 models)
Above: Nex AGI: Nex-N2 Pro #88 Below: Qwen: qwen3.7-plus #90

Benchmark highlights

Nearest competitor from another company

The model from another company with the most similar benchmark scores.

appeared as nearest in 1 of 2 benchmarks

Model Votes % of benchmarks
Google: gemini-3.1-flash-lite-image 1 50.0%
reve: reve-2.0 1 50.0%

Benchmarks

Predicted scores

Estimated from 25 similar models and the global Elo rating. These are projections, not measured results.

Benchmark Predicted Confidence Based on
MATH-500 ~99.2 50% —
AIME 2025 ~100 50% —
AIME 2026 ~99.2 50% —
HMMT Feb 2026 ~93.53 50% —
GPQA Diamond ~90.42 50% —
MMLU-Pro ~90.53 50% —
Humanity's Last Exam (no tools) ~37.78 50% —
IFEval ~96.75 50% —
IFBench ~77.66 50% —
HumanEval ~95.9 50% —
MBPP ~93.7 50% —
Terminal-Bench v2.1 ~72.44 50% —
MMLU ~92.5 50% —
SWE-bench Verified ~85.3 50% —
SWE-bench Pro ~61.13 50% —
SciCode ~49.88 50% —
AA-LCR ~71.81 50% —
Artificial Analysis Intelligence Index v5.0.1 ~25.02 50% —
Humanity's Last Exam (with tools) ~50.78 50% —
GSM8K ~99.6 50% —
-(CoderPPL) ~-1.69 50% —
LiveCodeBench v6 ~89.5 50% —
MMMU-Pro ~80.54 50% —
MATH ~97.9 50% —
BBH ~88.4 50% —